Continuous-time neural networks are one subset of machine learning systems capable of taking on representation learning for spatiotemporal decision-making tasks. Continuous differential equations are frequently used to depict these models (DEs). Numerical DE solvers, however, limit their expressive potential when used on computers. The scaling and understanding of many natural physical processes, like the dynamics … Continue reading Researchers at MIT Solve a Differential Equation Behind the Interaction of Two Neurons Through Synapses to Unlock a New Type of Speedy and Efficient Artificial Intelligence AI Algorithm